A Dual Ensemble Kalman Filtering for Assimilation into a Coupled Contaminant Model

نویسندگان

  • Mohamad El Gharamti
  • Ibrahim Hoteit
  • Johan Valstar
  • J. Valstar
چکیده

Mohamad El Gharamti†, Ibrahim Hoteit, Johan Valstar †PhD, King Abdullah University of Science and Technology, Earth Sciences and Engineering, Thuwal 23955-6900 Saudi Arabia ?Assistant Professor, King Abdullah University of Science and Technology, Applied Mathematics and Computational Science, Thuwal 23955-6900 Saudi Arabia Geohydrologist, Deltares, Subsurface and groundwater systems, Utrecht, Netherlands. Email: †[email protected], [email protected], [email protected] †?Webpage: http://assimilation.kaust.edu.sa/

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

4d Ensemble Kalman Filtering for Assimilation of Asynchronous Observations

A 4-dimensional ensemble Kalman filter method (4DEnKF), which adapts ensemble Kalman filtering to the assimilation of observations that are asynchronous with the analysis cycle, is discussed. In the ideal case of linear dynamics between consecutive analyses, the algorithm is equivalent to Kalman filtering assimilation at each observation time. Tests of 4DEnKF on the Lorenz 40 variable model are...

متن کامل

A Bayesian consistent dual ensemble Kalman filter for state-parameter estimation in subsurface hydrology

Ensemble Kalman filtering (EnKF) is an efficient approach to addressing uncertainties in subsurface groundwater models. The EnKF sequentially integrates field data into simulation models to obtain a better characterization of the model’s state and parameters. These are generally estimated following joint and dual filtering strategies, in which, at each assimilation cycle, a forecast step by the...

متن کامل

Sequential data assimilation for streamflow forecasting using a distributed hydrologic model: particle filtering and ensemble Kalman filtering

Accurate streamflow predictions are crucial for mitigating flood damage and addressing operational flood scenarios. In recent years, sequential data assimilation methods have drawn attention due to their potential to handle explicitly the various sources of uncertainty in hydrologic models. In this study, we implement two ensemble-based sequential data assimilation methods for streamflow foreca...

متن کامل

Enhanced Predictions of Tides and Surges through Data Assimilation (TECHNICAL NOTE)

The regional waters in Singapore Strait are characterized by complex hydrodynamic phenomena as a result of the combined effect of three large water bodies viz. the South China Sea, the Andaman Sea, and the Java Sea. This leads to anomalies in water levels and generates residual currents. Numerical hydrodynamic models are generally used for predicting water levels in the ocean and seas. But thei...

متن کامل

An Ensemble Adjustment Kalman Filter for Data Assimilation

A theory for estimating the probability distribution of the state of a model given a set of observations exists. This nonlinear filtering theory unifies the data assimilation and ensemble generation problem that have been key foci of prediction and predictability research for numerical weather and ocean prediction applications. A new algorithm, referred to as an ensemble adjustment Kalman filte...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012